AI4MoreCrops Project

Project Description

Project title: Enhancing Crop Yield Prediction Models using Machine Learning in Internet of -Agro Things (IoAT) in Tanzania

Project Objective

Build the capacity of small-scale farmers on ecological methods, in particular, JUNCAO technology for improved food and nutrition security, livelihood, and environmental performance in Tanzania.

Project Funder, Duration and Budget

Funder: ATPS and IDRC

Start: 2022

End: 2023

Budget: USD 51,000

Project Team

  1. Dr. Alcardo Alex Barakabitze — Principal Investigator (PI)
  2. Prof. Camilius A. Sanga — Co-PI
  3. Sahara Ventures — Co-PI (collaborator)
  4. RECODA — Co-PI (collaborator)
  5. Dr. Kadeghe G. Fue — Team member
  6. Dr. Neema Nicodemus — Team member
  7. Dr. Michael P. J. Mahenge —  Team member
  8. Dr. Joseph P. Telemala — Team member

Project Website

Project News and Updates

From SUARIS Grants to Innovative and Impactful: The Success Story of the Department of Informatics and Information Technology

The Department of Informatics and Information Technology (DIIT) in the College of Natural and Applied Sciences (CoNAS) at the Sokoine University of Agriculture (SUA) is making waves in technological innovation, thanks to the ingenuity and...
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DIIT – AI4MoreCrops Team meets the Ministry of Agriculture for Data Collection

AI4MoreCrops Team meets the Ministry of Agriculture for Data Collection
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